BUSI4BM15: Analytics for Human Resource Management

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• To equip students with relevant theoretical and empirical foundations to combine strategic human resource management with data science and statistics.
• To equip students with HR analytics techniques and related approaches for planning and conceptualizing evidence-based people strategies.
• To equip students with critical evaluation skills and abilities to assess evidence, potential ethical dilemmas, and trade-offs of data-driven strategies and decisions.
• To practice effective data communication, translating data into actionable insights to consult effectively, and deliver successful HR analytics projects for organizations.

• Foundations of HR analytics
• Strategic approach in data-driven Human Resource Management
• Data as a key source of evidence in HR analytics
• Ethical dimension of people data
• HR Analytic tools and practices
• Planning, designing, and managing HR analytics projects
• Measuring and analysing data using data science and statistics
• HR analytics in international organisations
• Future direction of HR analytics and data driven decision making

Subject-specific Knowledge:

• In-depth theoretical knowledge and practical skills in applying analytics to strategic human resource management.
• Specialised knowledge in designing, planning, and managing HR analytics projects in organisations.
• An advanced understanding of the pros and cons of data-driven decision-making in human resource management.

Subject-specific Skills:

• Design, implement, and critically evaluate Human Resource Management strategies using individual and organisational data and applying data analytics
• Apply system thinking and agile approaches to specific HR practices and complex workplace decisions.
• Plan and design analytics tools to create HR capability and inform decision-making.
• Translate data into actionable insights and communicate business solutions effectively.

Key Skills:

• Effective written communication skills
• Planning, organising, and time management skills
• Problem-solving and analytical skills
• The ability to execute strategic objectives
• Advanced skills in the interpretation and communication of data
• Advanced statistical literacy skills

• The module is delivered via a series of full-cohort weekly workshops to afford maximum flexibility to suit the dynamic nature of the subject matter. The workshops consist of lecture-style input, break-out discussions of special cases, data analysis exercises, and hands-on training in HR strategy planning, data identification, developing measurement tools, and applying analytic methods.
• The summative assignment is designed to consolidate conceptual knowledge, demonstrate planning, creation, and analytics application skills, and enhance employability skills. It is project-based and requires students to produce and submit an evidence-based people analytics strategy for a company of their choice. Students are expected to combine strategic HRM with applied statistics and data analysis to make data-driven decisions and strategies.
• The project-based summative assignment is equivalent to a written assignment of 3000 words.

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